>> Announcer: Live from Las Vegas, it's theCUBE, covering AWS re:Invent 2019. Brought to you by Amazon Web Services and Intel along with its ecosystem partners. >> Welcome back to the eighth year of AWS re:Invent. It's 2019. There's over 60,000 in attendance. Seventh year of theCUBE. Wall-to-wall coverage, covering all the angles of this broad and massively-growing ecosystem. I am Stu Miniman. My co-host is Justin Warren, and one of our Cube alumni are back on the program. Ramin Sayar, who is the president and CEO of Sumo Logic. >> Stu: Booth always at the front of the expo hall. I think anybody that's come to this show has one of the Sumo-- >> Squishies. >> Stu: Squish dolls there. I remember a number of years you actually had live sumos-- >> Again this year. >> At the event, so you know, bring us, the sixth year you've been at the show, give us a little bit of the vibe and your experience so far. >> Yeah, I mean, naturally when you've been here so many times, it's interesting to be back, not only as a practitioner who's attended this many years ago, but now as a partner of AWS, and seeing not only our own community growth in terms of Sumo Logic, but also the community in general that we're here to see. You know, it's a good mix of practitioners and business folks from DevOps to security and much, much more, and as we were talking right before the show, the vendors here are so different now then it was three years go, let alone six years ago. So, it's nice to see. >> All right, a lot of news from Amazon. Anything specific jump out from you from their side, or I know Sumo Logic has had some announcements this week. >> Yeah, I mean, like, true to Amazon, there's always a lot of announcements, and, you know, what we see is customers need time to understand and digest that. There's a lot of confusion, but, you know, selfishly speaking from the Sumo side, you know, we continue to be a strong AWS partner. We announced another set of services along with AWS at this event. We've got some new competencies for container, because that's a big aspect of what customers are doing today with microservices, and obviously we announced some new capabilities around our security intelligence capabilities, specifically for CloudTrail, because that's becoming a really important aspect of a lot of customers maturation of cloud and also operating in the cloud in this new world. >> Justin: So walk us through what customers are using CloudTrail to do, and how the Sumo Logic connection to CloudTrail actually helps them with what they're trying to do. >> Well, first and foremost, it's important to understand what Sumo does and then the context of CloudTrail and other services. You know, we started roughly a decade ago with AWS, and we built and intelligence platform on top of AWS that allows us to deal with the vast amount of unstructured data in specific use cases. So one very common use case, very applicable to the users here, is around the DevOps teams. And so, the DevOps teams are having a much more complicated and difficult time today understanding, ascertaining, where trouble, where problems reside, and how to go troubleshoot those. It's not just about a siloed monitoring tool. That's just not enough. It doesn't the analytics or intelligence. It's about understanding all the data, from CloudTrail, from EC2, and non-AWS services, so you can appropriately understand these new modern apps that are dependent on these microservices and architectures, and what's really causing the performance issue, the availability issue, and, God forbid, a security or breach issue, and that's a unique thing that Sumo provides unlike others here. >> Justin: Yeah, now I believe you've actually extended the Sumo support beyond CloudTrail and into some of the Kubernetes services that Amazon offers like AKS, and you also, I believe it's ESC FireLens support? >> Ramin: Yeah, so, and that's just a continuation of a lot of stuff we've done with respect to our analytics platform, and, you know, we introduced some things earlier this year at re:Inforce with AWS as well so, around VPC Flow Logs and the like, and this is a continuation now for CloudTrail. And really what it helps our customers and end users do is better better and more proactively be able to detect potential issues, respond to those security issues, and more importantly, automate the resolution process, and that's what's really key for our users, because they're inundated with false positives all the time whether it's on the ops side let alone the security side. So Sumo Logic is very unique back to our value prop, but providing a horizontal platform across all these different use cases. One being ops, two being cybersecurity and threat, and three being line-of-business users who are trying to understand what their own users on their digital apps are doing with their services and how to better deliver value. >> Justin: Now, automation is so important when you've got this scope and scale of cloud and the pace of innovation that's happening with all the technology that's around us here at the show, so the automation side of things I think is a little bit underappreciated this year. We're talking about transformation and we're talking about AI and ML. I think, with the automation piece, is one thing that's a little bit underestimated from this year's show. What do you think about that? >> Yeah, I mean, our philosophy all along has been, you can't automate without AI and ML, and it's proven fact that, you know, by next year the machine data growth is going to be 16 zettabytes. By 2025, it's going to be 75 zettabytes of data. Okay, while that's really impressive in terms of volume of data, the challenge is, the tsunami of data that's being generated, how to go decipher what's an important aspect and what's not an important aspect, so you first have to understand from the streaming data services, how to be able to dynamically and schema on read, be able to analyze that data, and then be able to put in context to those use cases I talked about, and then to drive automation remediation, so it's a multifaceted problem that we've been solving for nearly a decade. In a given day, we're analyzing several hundred petabytes of data, right? And we're trying to distill it down to the most important aspects for you, for your particular role and your responsibility. >> Stu: Yeah, um, we've talked a lot about transformation at this show, and one of the big challenges for customers is, they're going through that application modernization journey. I wonder if you could bring us inside some of your customers, you know, where are they having success, where are some of the bottlenecks slowing them down from moving along on this transformation journey? >> Yeah, so, it's interesting because, whether you're a cloud-native company like Sumo Logic or you're aspiring to be a cloud-native company or a cloud-first project going through migration, you have similar problems. It's now become a machine-scale problem, not a human-scale problem, back to the data growth, right? And so, some of our customers, regardless of their maturation, are really trying to understand, you know, as they embark on these digital transformations, how do they solve, what we call, the intelligence gap? And that is, because there's so much silos across the enterprise organizations today, across development, operations, IT, security, lines of business, in its context, in its completeness, it's creating more complexity for our customers. So, what Sumo tries to help solve, do, is, solve that intelligence gap in this new intelligence economy by providing an intelligence platform we call "continuous intelligence". So what do customers do? So, some of our customers use Sumo to monitor and troubleshoot their cloud workloads. So whether it's, you know, the Netflix team themselves, right, because they're born and bred in the cloud or it's Hudl, who's trying to provide, you know, analytics and intelligence for players and coaches, right, to insurance companies that are going through the migration journey to the cloud, Hartford Insurance, New York Life, to sports and media companies, Major League Baseball, with the whole cyber SOC, and what they're trying to do there on the backs of Sumo, to even trucking companies like Packard, who's trying to do driverless, autonomous cars. It doesn't matter what industry you're in, everyone is trying to do through the digital transformation or be disrupted. Everyone's trying to gain that intelligence or not just be left behind but be lapped, and so what Sumo really helps them do is provide one single intelligence platform across dev, sec, and ops, bringing these teams together to be able to collaborate much more efficiently and effectively through the true multi-tenant SaaS platform that we've optimized for 10 years on AWS. >> Justin: So we heard from Andy yesterday that one of the important ways to drive that transformational change is to actually have the top-down support for that. So you mentioned that you're able to provide that one layer across multiple different teams who traditionally haven't worked that well together, so what are you seeing with customers around, when they put in Sumo Logic, where does that transformational change come from? Are we seeing the top-down driven change? Is that were customers come from, or is it a little bit more bottom-up, were you have developers and operations and security all trying to work together, and then that bubbles up to the rest of the organization? >> Ramin: Well, it's interesting, it's both for us because a lot of times, it depends on the size of the organization, where the responsibilities reside, so naturally, in a larger enterprise where there's a lot of forces of mass because of the different siloed organizations, you have to, often times, start with the CISO, and we make sure the CISO is a transformation agent, and if they are the transformation agent, then we partner with them to really help get a handle and control on their cybersecurity and threat, and then he or she typically sponsors us into other parts of the line of business, the DevOps teams, like, for example, we've seen with Hartford Insurance, right, or that we saw with F5 Networks and many more. But then, there's a flip side of that where we actually start in, let's use another example, uh, you know, with, for example, Hearst Media, right. They actually started because they were doing a lift-and-shift to the cloud and their DevOps team, in one line of business, started with Sumo, and expanded the usage and growth. They migrated 32 applications over to AWS, and then suddenly the security teams got wind of it and then we went top-down. Great example of starting, you know, bottom-up in the case of Hearst or top-down in the case of other examples. So, the trick here is, as we look at embarking upon these journeys with our customers, we try to figure out which technology partners are they using. It's not only in the cloud provider, but it's also which traditional on-premise tools versus potentially cloud-native services and SaaS applications they're adopting. Second is, which sort of organizational models are they adopting? So, a lot of people talk about DevOps. They don't practice DevOps, and then you can understand that very quickly by asking them, "What tools are you using?" "Are you using GitHub, Jenkins, Artifactory?" "Are you using all these other tools, "and how are you actually getting visibility "into your pipeline, and is that actually speeding "the delivery of services and digital applications, "yes or no?" It's a very binary answer, and if they can't answer that, you know they're aspiring to be. So therefore, it's a consultative sale for us in that mode. If they're already embarking upon that, however, then we use a different approach, where we're trying to understand how they're challenged, what they're challenged with, and show other customers, and then it's really more of a partnership. Does that makes sense? >> Justin: Yeah, makes perfect sense to me. >> So, one of the debates we had coming into this show is, a lot of discussion at multicloud around the industry. Of course, Amazon doesn't talk specifically about multicloud all that well. If you look historically, attempts to manage lots of different environments under a single pane of glass, we always say, "pane is spelled P-I-A-N", when you try to do that. There's been great success. If you look at VMware in the data center, VMware didn't cover the entire environment, but vCenter was the center of your, you know, admin's world, and you would edge cases to manage some of the other environments here. Feels that AWS is extending their footprint with thing like Outposts and the environments, but there are lots of things that won't be on Amazon, whether it be a second cloud provider, my legacy data center pieces, or anything else there. Sounds like you touch many of the pieces, so I'm curious if you, just, weigh in on what you hear from customers, how they get their arms around the heterogeneous mess that IT traditionally is, and what we need to do as an industry to make things better. >> You know, for a long time, many companies have been bi-modal, and now they're tri-modal, right, meaning that, you know, they have their traditional and their new aspects of IT. Now they're tri-modal in the sense of, now they have a third leg of that complexity in stool, which is public cloud, and so, it's a reality regardless of Amazon or GCP or Azure, that customers want flexibility and choice, and if fact, we see that with our own data. Every year, as you guys well know, we put out an intelligence report that actually shows year-over-year, the adoption of not only various technologies, but adoption of technologies used across one cloud provider versus multicloud providers, and earlier this year in September when we put the new release of the report out, we saw that year-over-year, there was more than 2x growth in the user of Kubernetes in production, and it was almost three times growth year-over-year in use of Kubernetes across multiple cloud providers. That tells you something. That tells you that they don't want lock-in. That tells you that they also want choice. That tells you that they're trying to abstract away from the IaaS layer, infrastructure-as-a-service layer, so they have portability, so to speak, across different types of providers for the different types of workload needs as well as the data sovereignty needs they have to constantly manage because of regulatory requirements, compliance requirements and the like. And so, this is actually it benefits someone like Sumo to provide that agnostic platform to customers so they can have the choice, but also most importantly, the value, and this is something that we announced also at this event where we introduced editions to our Cloud Flex licensing model that allows you to not only address multi-tiers of data, but also allows you to have choice of where you run those workloads and have choice for different types of data for different types of use cases at different cost models. So again, delivering on that need for customers to have flexibility and choice, as well as, you know, the promise of options to move workloads from provider to provider without having to worry about the headache of compliance and audit and security requirements, 'cause that's what Sumo uniquely does versus point tools. >> Well, Ramin, I think that's a perfect point to end on. Thank you so much for joining us again. >> Thanks for having me. >> Stu: And looking forward to catching up with Sumo in the future. >> Great to be here. >> All right, we're at the midway point of three days, wall-to-wall coverage here in Las Vegas. AWS re:Invent 2019. He's Justin Warren, I'm Stu Miniman, and you're watching theCUBE. (upbeat music)

>> from Burlingame, California It's the Cube covering Suma logic illuminate 2019. Brought to you by Sumer Logic >> Hey, welcome back there. Ready Geoffrey here with the Cube where it's suma logic illuminate 2019. We're here >> at the Hyatt Regency San Francisco Airport is about 809 100 people packed house in the keynote earlier this afternoon. Really excited tohave. The guy that was >> running the whole show was running the whole show here for this company. He's remain Sayer, >> the president and CEO of To Malachi Remain great to see you again. You too. Thanks. Absolutely. So 30 year. The show Second year of us being here. Wonder if you could just kind of reflect on how this thing is growing. >> Yeah. I mean, I think it's really a testament to the community more so than sumo, and we've seen a lot of growth naturally, because of where customers are with their own adoption of technologies such as cloud, but also transformations that they're going through like digital transformation, cloud transformation so naturally that allows for more audience of people to attend conference like this. Because this is not a sales marketing conference. This is a user conference. And as evidenced by the fact that 60 plus percent of the content is users themselves in the community present. >> Right? And you talked about the theme is really this intelligence gap, which, which was really a key piece of the key note. And it's interesting because talking about data in huge amounts of data flow, exponential growth and types of data, flow of data, sources of data and your data is just data until it turns into information. And then if it turns into good information, that actually could maybe turn into some intelligence and some action that you can do something with. But there's no person that has the ability to manage the data flows now that we're starting to see. So you guys are really coming at that at the core? You've been at it for a long time. You made some great early on bets being cloud native and now really starting to see the benefits as this exponential growth of data just hits everybody >> you're spot on, I think, um, you know, maybe to add to that, I think the challenge that we see despite the tsunami of data growth, is that a lot of organizations still struggle because the lacked ability to be able to share the insights and intelligence they glean from this data. So a lot of things we spoke about the key note today was the whole notion of the intelligence gap that exists. And that's predicated on the fact that you know, we're all going through some sort of transformation or migration or business model change. And with that comes five challenges that we talked about with respect to continues intelligence we internally has actually referred to as a challenge of minding the gap of intelligence trap because we need to help our customers become intelligent and collaborate, communicate much more effectively by virtue of what we've become that what we've become is that trusted partner, that data steward that is sitting on all this valuable insights that we need to be able provide continuously to our community of users. >> Right, if you talked about it really out along three different metrics, right, the operations metrics, which is probably what people think of top of mine security metric on then, as well as the business metric. And, you know, we had a Robert Parker on earlier from smart thing Samsung Smart Things, and he made an interesting comment that they are pervasive users of Suma logic within the company, which I thought was really interesting because everyone's chasing innovation. How do you get innovative? I think one of the core ways, as you give more people more access to more data and the tools to actually do something with it. That seems to be a big piece of the of the smart thing story. And that's really a big part of your guys. Messaging. >> Yeah, I mean, I think unlike other vendors who have restrictions on adoption and usage on or charging by user model, you know, we're trying to make sure we tear those silos down on one of the nature's by nature. One of things you have to do is provide ubiquitous access, and second thing you have to do is built to dress all different types of data so you can get value for all those users and ubiquitous access. And so you hear about that through not just smart things, but a lot of other customers and partners that are here today because that's unlike the old models, >> right? Right. It's interesting, right? Minds, we backed you know, 97 97 98 99 when first started seeing people build Web applications. And they had all these pricing models based on, you know, cores and CP use because it was based on how many employees were inside the inside the walls and would have access to the applications. And they try to apply this to to a public Web page. It doesn't work. Still see some of that nasty legacy stuff, though, >> right? And would now it was 20 years later. So you made >> a big announcement today about really changing your pricing model. Two more fit the realities of the world in which we live. >> Yeah, look on the surface. Why it seems revolutionary. It's not. It's evolutionary for sumo. It's something we've been doing since we first started. For example, we always provided a service that charges an average for the month, not for the penalty. You're going over a day we didn't charge for user's because that's antiquated model. More importantly, we actually provide in an economic model all along the mere the business model of all these companies. So the more you ingest and use the lower your cost become not more right. And so the things we announced today is a further commitment that we have been making to the community and effectively taken the headache away from them because he looked at these other tools, for example, that provide observe ability for monitoring or for security. You have to go calculate, count the licenses. You have to go look at the number data point for a minute. You have to look at the number nodes and who wants to manage software you want to manage Service's. And so what we've done has really taken the next license taken existing licensing mall that we have to the next level and providing a credit based system so that you can flex and choose what you want to use in a given day and give a month and given Pierre recycle across a new suite of packing ages or a suite of products that we brought to market >> right or whatever, whatever you are optimizing for that particular day. That particular moment, that particular business >> but also ties or something you mentioned earlier it it actually helps tear down those silos that other vendors air creating because it provides ubiquitous access to all users for all different types of data, right? And instead of trying to keep those silos and separation that exists, that further challenges intelligence gap that we're seeing in intelligence. Economy, >> right, Right. What? Another great slide. I thought earlier in the keynote was given by Anheuser Busch, and he talked about his security infrastructure and all different layers of security in the solution that he has for, you know, front kind of front door and fishing, etcetera, etcetera. But the great thing is, you basically crossed all those applications stack and and it's a pretty interesting position for you guys to be in to be able to integrate with all these other kind of point solutions that make up parts of the puzzle and to bring it all back and to still have kind of this one ubiquitous Data Analytics platform to go on and do stuff with that. >> Yeah, I mean, I think it's truth be told, something we've been doing for a long time. I think the visual that you saw there is the challenged a lot of our customers have, and specifically they have these silos >> of >> endpoint or firewall or email or whatever else, and it could only make sense of it by leveraging the monitoring of those silos to an intelligence platform like sumo. And so the same thing that you saw in security with Anheuser Busch being able to leverage the silos into intelligence platform for security. We see in the monitoring space for developers and operations team so they'll have silo tools. But observe ability, is not it. You need continuous reliability, and therefore you need to be able to take all those different types of dead and signals, just like you saw on security for the different types of infrastructure and applications that your manager aging and provide an intelligence based system and service, not a monitoring based on the system of service. >> Right? Another big trend that's happening. You guys were riding this wave and you're Jennifer up from from Google Cloud and she she had the same presentation on Antos. I think at the Google Cloud platform, someone earlier today, you know the Mo Mentum behind Hybrid Cloud as kind of the whipsaw. You know, it's all jump into public and then let's not jump in and its hybrid and its multi. The fact of the matter is, everything's going to work supposed to be, which is its workloads Pacific and the works load should run where the workload should run Really a great moment, um, for you guys to be ableto leverage because regardless of where the work flows running based on where it should run, I need to see it in a unified front. Back at the back of the ranch. >> Have a Jeff. I think this is what we saw even last year when we put the continuous intelligence report out, then let alone the changes we saw this year. For example, we saw Container Technologies moved from development to production last year in north of two ex growth. Now we're seeing orchestration technologies like Kubernetes more than two Ex Growth. And what's driving the multi cloud common that you made is because the customers want flexibility and choice of where those work clothes run. Historically, they have been able to do that until now. Leveraging contain orchestration, technology that builds an abstraction layer from the eye. Astor infrastructure is a service later, and obviously a testament to what Google's been doing with an throws in the partnership we have with them. Tow develop and integrate things for anthros. Ston service mesh. >> Yeah. So what's next? What do you looking for? I can't believe we're almost done with 2019. It still shocks me every time I flipped a calendar. >> What? Your priorities going forward? >> Another great event. 2020 year of insight and all knowledge. What we're saying we're gonna be, >> uh >> you >> know, we started down this journey before the market was there, and I think the unique position and fortunate position that we're in right now is Maura, Maura, that market opportunities to us and the community's getting more powerful and stronger day by day and year by year. So we're very early innings of this honestly. And so what do we see? Going forward to your question is a lot of the execution of our strategy that we set out a while ago to build the only continuous intelligence platform. And more importantly, the new category of software called into continues intelligence. That's really mirroring the OMB operating model and economic model of every single digital business that needs to thrive, not just survive >> right in an era of exponential growth data, complexity, sources, types, which is ah, good place to be all right. Well, we're mean. I know you're super busy. Thanks for taking a few minutes. And congratulations on a great show for sure. All right, >> ease remain. I'm Jeff. You're watching the Q word. Suma logic illuminate 2019. >> Thanks for watching. We'll see you next time.

>> Live from Las Vegas, it's theCube, covering AWS re:Invent 2018. Brought to you by Amazon Web Services, Intel, and their ecosystem partners. >> Well welcome back here at the Sands expos. We continue our coverage here on theCube of AWS re:Invent. We said about 40,000 attendees this week. We're just off the show floor, it is been jam packed, with a lot of energy, all day today. Justin Warren and John Walls we're joined up by Ramin Sayar who is the President, CEO of Sumo Logic. Ramin, how are you are doing. >> Good, thanks for having me back today. >> You bet, always good to have you back on theCube. You made some news, had an announcement yesterday that kind of takes your AWS linkage or partnership to a new level. Tell us a little bit about that. >> Yeah, so in short, you know we've been partnering with Amazon for well over eight years. We've been born and bred in the Cloud as a multi tenant service. And, over the years we've been working on a variety of ways to improve some operational best practices, not just innovations and products, and that's led us to really push Amazon to do more in security. Because, the security, posture, practices, understanding in the cloud world, is fundamentally different than that on prem in the traditional world. >> Yeah. So one of the key points of the announcement was some efforts that we're continuing with Amazon around security and bringing cloud first security posture, best practices as well as integrations, some things we've already announced, as well some things I may hypothetically be announced tomorrow. >> Okay, So tell us about that discussion. Alright, you say its been going on for some time. The need to bring a higher level of awareness or concern, however you want to word it, to security in the public cloud. I mean, how's that evolved and then where's that going to go? >> Well I guess, there's two ways looking at it. You know, one is, its really centered on the fact that there's a big movement right now for the lift and shift of workloads to the cloud. >> Yeah. >> And you can't bring along all the baggage that's associated with these workloads, because you're modernizing these applications, and fundamentally it requires different ways of instrumenting, collecting, analyzing and last and definitely not least, the tsunami of data that's being generated because of these distribute applications. You can't take the old way of writing rules to presuppose events and security issues in this new world. So we've been pushing Amazon really, really hard to build practices. So a competency was one of the things we first started with them, right? And that competency led us to understand it's not just about guard duty, it's not just about some simple best practices, but how we bring the broader community together. So, we're taking this on the road with them, bringing the MSPs or managed service providers, as well as managed security service providers together and building this integrated practice to them, and with them, so they can take it out as a channel. What are you expecting people to get out of this. So when you've this roadshow and you've taken this show on the road and you've got all this MSPs to sign up to this way of doing things. Where do you see them taking from where they are today and where they will end up at the end of this. >> Yes as simply put, managed service providers or managed security providers, are one vehicle. >> A lot of this is actually, teaching the practitioners, in terms of CSO's, security operations, and security analysts. Like what should you consider, what should you use in the cloud. So it's not just about VPC flow logs, it's not just about AWS config or guard duty, but the combination of what the Amazon does or AWS does, at the infrastructure level, coupled with what Sumo does at the security analytics level is what delivers that best in class cloud service for security. >> Right. >> And so it's educating 'em on that first. >> Second piece is, really pushing that responsibility not just as a security operations or a security analyst team, but upstream into the development teams. And so that's part of this whole notion that Sumo's been aggressively pushing called DevSecOps. It's a responsibility everybody in the organization, not just the people downstream that get the hangover when a breach happens. >> Right. >> Right? >> Feels like we've been talking about that idea of embedding bending security into, well, security is everyone's issue, and that we need to move it upstream, and you shift it left as a lot of people like to say. So, where we you think we are on that journey? So we've been talking about it for a little while. It feels like we still actually right at the beginning of that kind of movement. >> So, it's funny you say that, 'cause we're thinking about this before this event and categorically we see in born in the clouds types of companies, they have a security first principle mind already. And so, naturally as, they just look at it as another data source that they have to manage, not as a burden. And so, that's a difference with traditional security companies, the enterprise, who feel like, oh great my developers are going over there and now it's a burden for me to manage that. So, I think from the born and bred cloud perspective, adoption is super high. The ones that are doing the lift and shift now, we're trying to get the CSO's to be the champions. So we enter a lot of times there versus just the devops students. And so as a result, that's helping us educate the CSO's to take it down to the sock or the analyst so they can understand, what should I even use with Amazon and how does Sumo support that? >> Yeah, so it sounds like a lot of these more traditional companies are doing, in the same way that the cloud has changed the way developers actually write code and use infrastructure, it sounds like the security practices that have been born in the cloud are actually starting to make their way back up or upstream if you will into this more traditional companies and they're cloudifying the way they run things. Which is an interesting parallel to the what we're seeing with the infrastructure where it's becoming more hybrid. So we're kind of getting this hybrid security model of the old way of doing things and the cloud way of doing things. >> Yeah, and I think the interesting piece of that is, it's profoundly changing the operating model. Right, historically all this teams been siloed. They use their silo tools for security over here, for monitoring over there, for troubleshooting over here, right, for building and release systems over there. And this new way of deploying, building, running, securing workloads and more importantly cloud services now, it's fundamentally broke down those barriers. And so by nature, what's it done is, forced those team to either come together to collaborate, in a lot of cases what we say in accounts is also, there's a single throat to choke. Person that's owning that service owns and end to end. Right, and so our platform uniquely helps all those different constituents across the organization really share and collaborate, but also rely on one vendor, and one platform that spans not just obviously here with Amazon and Amazon Web Services, but also GCP, Azure, and 40% of the data we collect every day comes from on prem. We give them that single platform that spans everything that they need. >> What is the, if there is a fundamental problem that when somebody who has, they look at their migration and they say, okay public cloud that's where we're going, from a security stand point is it that, they are going to a space that they don't have total control over or they are going to a space, now this is the way we used to do it, and now you're going to, you're coming at it from a different side. I don't know if it that's by-end, I mean what is the kind of like the-- >> So I think it comes down to three things. I think one is mindset change. So we look for progressive CSO's that believe in the vision of fundamentally doing things different. Two is debunking the myth. And I say that because SIM has been a dirty word for years. Useless services and technology and vendors that have been pimping SIM for years and have not delivered on the value. >> Don't minse words, tell me what you think Ramin. >> No, been all seriousness, and so we have a job to clean up that dirty work. So with the cloud SIM and what we're doing on top of Amazon in supporting other cloud providers, we're trying to make it sexy again. But more importantly, make it real, deliver value through our cloud SIM. And the third is, we're trying to break down the silos. It's not just a security operations schemes anymore. And they understand that, in order for them to have that holistic control, because at the end of the day it's about control, they need to have accountability upstream and they need to be partnering with the devops teams. And so that's the value we bring because the devops team, the cyber liability engineers, the tech ops, platform engineering are all using Sumo. So now we can connect the CSO to them and they can have one unified way. Share it lights tiered model for data, they can have access control, predictable cost and then more importantly going forward allows them to start analyze data, different values, different sets as they need to through a consumption model. >> You say you're trying the SIM sexy again, which is an interesting way of putting it. What are you seeing customers using Sumo logic for that really gets your intent? What's something you think would be a thing that people here in this show should really pay attention to? Why should people use it? >> So are you a gamer? >> I have been known to game on occasion. >> Do you play Pokemon or Fortnite? >> No, I keep getting pestered to get Fortnite, but no, I'm an old schooler. I like Borderlands 2. >> So you do, okay. So I'll give two different contrasting examples in the gaming industry for example. So Pokemon, guess who their average age user is? >> About eight? >> No. >> No? >> Kids. Young kids. And so for them it's about protecting identity. Right, and protecting privacy of it's users, kids for parents. So we help them with privacy and controls. You compare that with Fortnight. We help fortify Fortnight because Fortnight needs to look at the metadata, what's going on in the game. Right, they're looking at all the actions from the chat, from the text, from the things that were unplanned in the game, to get a sense of how the real game experience is. They're both securing but in different ways. You compare/contrast that to outside of gaming, media, online retailers, what do we help them with? They have audit responsibilities because they take payments for PCI. They have health care responsibilities, because HIPAA compliance. They have regulatory responsibilities with GDPR. Right? And so we help all of them with the audit and compliance, but also we give them the threat and investigation capabilities when and if they have a breach or when they have an audit issue. >> So you are not a Pokemon player? >> I played Pokemon Go for a while, then I was like, I'm too busy hosting theCube. I don't have time for that. >> Ramin, thanks for being with us, we appreciate the story and wish you continued success. Sumo Logic just about 50 yards from our spot here on the floor, drawing a lot of attention in your booth. So, congratulations on that as well. >> Thanks for having me again, great seeing you guys. >> You bet. Alright, back with more here on theCube. We're at AWS re:Invent in Las Vegas. (soft alternative music)

>> (Narrator) From San Francisco, it's theCUBE. Covering Sumo Logic Illuminate 2018. Now, here's Jeff Frick. >> Hey, welcome back everybody. Jeff Frick here with theCUBE. We're at Sumo Logic Illuminate at the Hyatt Regency at San Francisco airport in Burlingame, about 600 people. The second year this conference, about triple the amount of people that they had last year. A lot of buzz, a lot of activities, some really creative things that I've never seen in the conference world with the silent disco kind of treatment for the training is pretty cool. Everyone's in the same room listening to their own, in training, I've never seen that before. We're excited to have, fresh off the keynote, the leader of this party, President and CEO of Sumo Logic, Ramin Sayar. Ramin, great job on the keynote today. >> Great, thank you for having me today. >> Absolutely. >> Thanks for being here. >> So, a lot of passion really came through. It struck me and it was palatable in your keynote, really reaching out to the community and talking about being on this mission together. I wonder if you can speak a little bit to how important community is to you, to the company, and what you guys are trying to accomplish. >> Well the interesting thing about that, Jeff, is that that's really innate in our culture and that's part of, one of the reasons why I actually joined Sumo. Specifically, one of our core values is we're in it with our customers. And that permeates all the way through to every action that every employee takes every single day, and ultimately, is seen and felt here at an event like Illuminate. So when we talked about community, is we're living and breathing the same thing that a lot of our customers are every single day. All the challenges that they're dealing with, the cloud, the cost, the migrations, the training. And so the more we get intelligent in terms of using our own service, the better it is for the rest of the users in our community, so that was a big theme for not just what we wanted people to take away, but also naturally as part of the announcements we made around some of the new intelligence. >> Right, right. I think it's an under-reported kind of attribute of SaaS-based business models, in that you are in bed with your customer because you're taking money from them every month, or whatever the frequency is, so you've got to have this ongoing relationship and continue to deliver value. And we've heard that time and time again, we heard it from the MLB guy on stage, we had another partner on-- >> Samsung, the smart things. >> The smartphone, but we had another one here. But just talking about working together with your teams collaboratively to execute on the objectives at hand. Not just here's some stuff, I'll take the money, good luck, we'll see you next year. >> Yeah, interesting enough you point out something that's a precursor to being successful in the SaaS business, and that is, you're having to get reelected every single year. But we don't wait 'til every single year, we try to make sure from the moment we land a new customer that we help them understand what it's going to take for them to get, not just instant value, but ongoing value out of our service. And we often times make sure they also understand they we're actually living and breathing the same experience they are, so there's that trusted advisor relationship, not just a vendor relationship. >> Right. The other great thing I'd love to see, and I think we first interviewed Sumo at our first AWS San Francisco 2013, You guys definitely picked the right rocket ship to strap onto. But one of the things that we love to watch is kind of the change of a company from an application space to a platform space. 'Cause nobody has a line item for new platform, nobody wants to buy a new platform. I tried to launch a platform company as a platform, it doesn't work, you got to have an app. So that's what you guys did, but you've got the infrastructure and the architecture in place that's now allowing you to get into the platform play and the slide that really jumped out to me, and I took a picture of it on my camera, was the diversity of roles in organizations that have Sumo Logic. After, I think they've had 60 months, you start seeing customer success people, design people, quality assurance people, these are not engineers. This is not reliability, this is a whole separate set of people that are using this great tool that you guys have built to solve some different business objectives, and maybe the ones when they started the company. >> Well, that's predicated on how we started the company. We never started the company to be a silo tool use for one part of the organization. It was always meant for how do we take what was typically in the back room only to select few of folks in security or operations to other parts of the organization, thereby democratizing like we've been talking about. And so, over the last few years, since you mentioned AWS and the reinvent show, we spent an enormous amount of energy and investment in terms of making sure that we're constantly listening to our users, we're constantly redesigning and iterating on a user experience, so that we can actually extend from the power users that might be in development or operations or security, into these other teams that you've been mentioning. And now we're seeing evidence of that, which is phenomenal. >> So it's, you know, we go to so many shows, we talk to a lot of smart people, it's really fun. And one of the things that I've come to believe in terms of how do you drive innovation... Some really simple things, you give more people access to more data with the tools to manipulate it and then the ability to make decisions based on that data. And that was really a big part of your theme, in terms of, you know, some of the new product releases that you announced and also again what we just talked about in terms of the use cases, is giving more people the tools and the data so they can actually make innovative steps instead of just funneling it through you know, asking somebody to run a BI report for me or this or that. That's not the way anymore. >> You're spot on. And I think we're still earning that right, to be honest with you. And while we've seen massive adoption in terms of various profiles of users and the types of data, I think we're honestly just scratching the surface here. And specifically what I mean by that is, we've announced some interesting things around industry benchmarks and community insights and obviously the modern app report that you talked about and covered before, but there's also a different subset of users that are now embarking on and leveraging a platform like this, and those are the data engineers, and those are the data scientists, because they don't want to be left on the back room. They also want, just like security operations or analysts or development teams, to be able to collaborate, be able to iterate, be able to share their own experience with not just the service, but how they're to getting value out of this. And so what's most refreshing, and honestly something that we pay very close attention to, is the types of roles and users that are here. And you see people from interesting enough product or finance or success report to your comment, but that's innate in the value of something like this that we're referring to in terms of machine data analytics platform. >> Right. So you guys are in such a good spot with the machine data. The MLB guy was interesting. He just threw up a slide with a whole bunch of really big numbers. But even more than that, we were at an AT&T show on Monday that the conversation's all about 5G, and the big thing about 5G 100X, 100X more throughput than 4G, designed for machine-to-machine interaction. I mean, the tsunami of data that we've been living through up 'til now is going to be dwarfed by this continuing tsunami when we get 5G internet of things, industrial internet of things. You guys are pretty well positioned to take advantage of this big, giant trend. >> We are. But we're also being very conscious and prescriptive how we approach it. So we've been maniacally focused first on the new applications, and therefore the new architectures associated with these applications that are being built and born and bred in the cloud. Then we extended it to those that are being lifted and shifted, because we had to earn the trust and the right there, particularly those that were running traditionally on-prem, we want to rewrite the front end, and in doing so, we had to often times interface and interact and get sign-off by security. And so that naturally led us into the CISO, in the security operations analyst teams starting to understand, "What's going on over there? "Why are those guys using that service, and why aren't we?" So then we extended our opportunity to security analytics play, and you naturally pointed out there's other opportunities into connected devices, industrial IOT, and what we heard from some of our customers today, in consumer IOT. But we're going to go to it gradually. We're also going to go to it through partners, and really extend the platform as customers use it for those use cases, not necessarily how we see fit always. >> I wonder if you can dig a little deeper into how security has changed. You've been in the industry for a long time, go Gauchos, I saw you went to Santa Barbara, my daughter's at Santa Barbara now, so we're all about the Gauchos. But you've seen how security has changed from this walled garden or moat around the castle, however you wanted to describe it, into being baked everywhere, up and down the stack, throughout the applications, throughout the infrastructure, and how that's really changed everyone being involved in security, regardless of what your day job is or what your title is. >> See that's what's the interesting thing. You heard it from MLB and Neil. There's a shortage of security professionals that are out there, so it's no longer just a duty and a responsibility of security operations or analysts; it's everyone upstream. And that's the power of what Sumo provides. It can't be an afterthought. And so what we're helping understand for our customers to understand is, as you architect these new workloads, specifically looking at micro services or containers or cloud, put some forethought and insight into what does that mean from not just an operational perspective, how do you instrument, collect, and log and events and metrics, but also from a security perspective. And so when you're able to leverage one platform to do so, it actually is a connecting mechanism, meaning that it's bringing these teams together versus isolating and siloing them like in the past. >> Right, right. I'd love to jump... You did a little bit in your report and now you announced some of the benchmarks and stuff about how you're able to aggregate, anonymize and aggregate back end data from a lot of different customers to start to share that information. To use BI and machine intelligence to optimize. To use benchmarks and to help your customers do a better job. And you're sitting on a boatload of data. And it's really a great way to provide another layer of value, beyond just the core functions of the products. >> I totally agree. And we are still early in that journey, though. And as I mentioned earlier in the announcements today, one of the ways that we're fixated on making sure we continue to get more data is constantly look for ways that we can bend that cost curve down for our customers. So that they can start to ingest more their tier-two, tier-three data or their lower-performing data so we can get more intelligent, more smart, and also provide that value, add back into the community and the service. So we felt that we weren't ready before because we needed to see multiple sets of years across multiple different types of data sets to be able to launch and release something like global insights. We started actually three years ago with a modern app report, because that was usage-based, not survey-based. And it's really interesting-- >> Real data. >> Because it's real data, right? But we were contemplating, even three years ago when we did the report, do we start to put out some of these benchmarks? And we felt that we were too early, because we needed more data, we needed different types of data from across different geographies, different types of usage, different technologies, and so we held off. And so that was one of the things that we've been paying very close attention to, and what the announcement today was all centered on is, yes, we've been talking about some insights around the industry, but you as the community of users here are helping us get smart and helping each other get smarter, and we're going to start to allow you guys to compare yourselves, back to your question, around, "Am I best in class from an operational KPI perspective?" And what does that mean? From utilization versus cost. And, "Am I best in class from a key risk perspective?" From a security perspective, for example. And how does that compare to others? And when you're staring the reality of that type of data in your face, it forces you to do something, take action. And the whole premise here is insights and intelligence. And so the more forthcoming, transparent we are with our customers in terms of these types of insights and intelligence, the more they're going to be using and adopting the platform, and hopefully, together as a community, getting smarter, more efficient. >> The graphic you showed, you get a whole bunch of green lights and one yellow light, all the eyes go right to... "What the heck, what's my yellow light?" Alright, I give you the last word on a word that you used again a number of times in your keynote, and that's trust. >> Yes. >> At the end of the day, that is such an important word in all types of relationships, but certainly in business relationships. Why're you putting the focus on that? Clearly it's important, you're highlighting trust. In fact I think you said, "We are your trusted steward for your data." Really important attribute for this company. >> Well that's been something early on, Jeff, in our architecture and things we did in terms of guaranteeing data sovereignty, privacy, encryption. We took no short change or shortcuts in terms of how we architect the service, eight-plus years ago. And we don't take any of those now. And the trust comment is because we have to trust, we have to build the trust and relationship, not just in terms of the value they're getting out of using the service, but that we're going to make sure that we keep their data safe and secure. Because we are PCI certified. We are also HIPAA certified, SOC type one, type two, we're doing GPR, all these other attestations and stuff that our customers have to face, we're also facing. So together, we're actually creating a trusted network, and that's the strategy here, is to create that trusted network. To share the insights. >> Well the passion comes through. And again, congratulations on the show, and the success, and we continue to enjoy watching the ride. >> Thank you very much for being part of it. It's great to be here with you. >> He's Ramin, I'm Jeff, you're watching theCUBE. We're at Sumo Logic Illuminate 2018. Thanks for watching. (inquisitive electronic music)

>> Narrator: Live from Las Vegas. It's The Cube, covering AWS re:Invent 2017, presented by AWS, Intel, and our ecosystem of partners. >> Hey, welcome back to The Cube, our continuous coverage of AWS 2017. AWS re:Invent, I should say. 42,000 people, a lot of them here in the room here. I'm Lisa Martin with my co-host Keith Townsend. We're excited to be joined by a Cube alumni extraordinaire, Ramin Sayar, CEO and president of Sumo Logic. Welcome back to The Cube. >> Great. Thanks for having me. It's good to be back. >> You guys have had a big announcement today with AWS. What does that mean? What's in there for your customers? >> Sure. Well, it's good to know that for over seven and a half years we've been close partners with AWS. So we've designed and co-designed over 100 services together with AWS. And today's announcements around GuardDuty in particular is taking all the basic compute, network, storage, persistent type of stuff and toolkits and paths to the next level because, as you've seen, security has always been an afterthought when it comes to workloads and data in the cloud. So we've been pushing Amazon in particular to really up their game on security and so we designed the GuardDuty service to really start to provide a lens into threat intelligence with respect to cloud data. >> Why do you think security still continues to be not as big of a focus? We hear different things, it's not as big of a concern for customers anymore, but that's not actually true. Why do you think that trend is out there? >> Well, I don't think it's about focus, it's about uncertainty, and I say that because a lot of the CISOs that we engage with consistently, who use our platform to get not only visibility to user behavior, or infrastructure, or the workloads, when they move from the traditional world to this new world of cloud, there's uncertainty about what to do. There's uncertainty about what services to use because a lot of the cloud providers until recently haven't had a lot of these capabilities provided. So, in our case, as an example, seven and a half years ago when we started, born and bred in the cloud, we built our whole PKI infrastructure. We built encryption in transit and at rest. So we had to build all that stuff ahead of what the platform like Amazon had provided. So we've been able to leverage all those experiences and extend the platform for not only cloud data, but on-prem data to provide that unified view. So the vantage point we have as a result is really be that trusted advisor for CISOs and to guide them toward things like CloudTrail, that's part of their announcement. Things like VPC flow logs, and what they should and should not do there. And so the announcement today is really more of a guidance for CISOs as well as developers and operations folks, to better understand what they need to do differently in the cloud, not just from the technology point of view, but also from a threat intelligence point of view. >> So let's talk a little bit about education, because this is I think an opportunity to educate a lot of the market. Amazon has always preached share responsibility. They take care of the locks, the guards, the physical data center, all the way up to the hypervisor. And the hypervisor is ironically becoming less important with today's announcements, however there seems to be some uncertainty still with clients as to where their responsibility starts. How do you guys help with that conversation of shared responsibility? >> Well it actually starts back to the point I just made. In a lot of cases, we've become the trusted advisor because we've had such a long history of building a mission-critical platform that's analyzing 100 plus petabytes of data every single day. And so we know what the struggles are to understand new services as they come out, whether it's Amazon or another cloud provider, and what the implications of those services are. So now back to the root of the question here, what we really try to do is assess the maturity of a lot of our customers. So we really understand, well what are you using today with respect to SaaS applications? How much of your data is inside your data centers versus potentially in a cloud platform like AWS? What types of cloud services are you using? That allows to kind of categorize the maturity, but also start to lay out prescriptive roadmap as to what new application data, new infrastructure data, as well as the potential vulnerabilities and risks associated with users or infrastructure that they need to be concerned with when they make that transition to the cloud, or migration, or build natively in the cloud. >> So how much concern is it out there over these new services like Lambda that are no longer associated with, we can't just put an IP address or a firewall and say okay, this host can't talk to this host. It's service and data-based. Services like AWS that we really can't control from an OS-perspective, how's that impacting the conversation? >> So that's actually an interesting aspect of what the ecosystem provides, right. We analyze a lot of those connectivity and transport aspects because we look at the pattern of those datas. And it's not just about what's running in AWS, what's important here is you have your CDN providers, you have your on-premise data centers, you have your Kolos, and from a security posture perspective, you need a holistic view. More and more customers are moving away from packaged, on-prem apps to SaaS, and so understanding what the implications are from a 360-degree view is what Sumo helps provide them to do. And more specifically, back to the announcement here, the role that we play is not only to be that advocate, but also the champion to AWS because we're bringing a lot of these customers through in this migration. So a good example, they mentioned a customer called Samsung and SmartThings. They're one of our large customers of an IoT use case. And they're pushing the boundaries on understanding how to start to compress and encrypt this data, but start to analyze it real-time across millions and millions of devices that need to come in to look at the fingerprints and patterns. Those are services not yet available in Amazon or GCP or at Azure yet. So we're helping with SmartThings for example go to these platform providers and start to design new services or design new capabilities of existing services. >> One of the things I wanted to ask is a lot of companies talk about CICD. Sumo Logic is talking about continuous intelligence and you said the world holistic a minute ago, what is continuous intelligence? What does it mean? How does it differentiate Sumo Logic? >> Yeah so our view of this is that unfortunately in the fragmented world we live in, and the complexity of all these point tools that address small aspects of different parts of your stack, your application stack, as well as the lifecycle, to your point around CICD. There's never been a comprehensive platform like Sumo that not only addresses the lifecycle, everything from your source code control system, to your continuous release and deployment, to your downstream monitoring, let alone everything from bare metal, on-prem, to containerized, to logic. So Sumo actually created this strategy about seven and a half years ago when we founded the company that we wanna be the full-stack vendor, we wanna be the full-stack data analytics for structured data as well as unstructured data. And so the relevance of continuous intelligence in that notion is we're not only providing full-stack or 360, but we're also providing mechanisms to look at fingerprints and patterns in that data to take a lot of the guesswork out that typically a CISO's team or developer needs to do during the deployment of an application, during the release of infrastructure, or God forbid, in the case that there's been a breach. So we help proactively address these issues because we use a lot of machine learning algorithms, we use a lot of pattern recognition to understand what's normal and abnormal and we surface that up into a very salient view in terms of dashboards and alerts. >> So what does this solution look and feel like? I think on the SaaS part of it, that's pretty straightforward, but in the hybrid cloud environment in which I have on-premises information data that I'm trying to protect, that's talking to these SaaS cloud components, whether it's Amazon services or anyone else, what does the on-prem part of that look like? >> So interesting enough, it doesn't look like anything different than what the off-prem would look like, or in the cloud, because for us it's just where the data resides that we're collecting from. So whether it's top-of-rack switch, to discreet hardware, to converged hardware, to your CDNs, to your SaaS apps, to your cloud infrastructure services, we collect, ingest, analyze all that data and start to separate the signal-to-noise and provide meaningful, digestible insights, and that's what we refer to as continuous intelligence. >> What are your thoughts about security being an enabler of digital transformation? >> What's interesting is we predicted this probably about almost two years ago now, where we said it's no longer about this DevOps, it's about the DevSecOps model, right. And it's not about the security team being in the back room, but in the front room, meaning that the security operations, the CISO, the security analysts needs to have a role in how these new architectures, new infrastructures are built and managed. And so what we see in a lot of organizations is whether those teams are merged or whether they're starting to work together, they need one single platform and that's why they choose Sumo. So you're seeing the formation informally of DevSecOps as well as formally of DevSecOps. And that's really providing the agility to be able to release applications faster, while also providing the security and credibility for making sure there's not a breach, a data breach or a user issue. >> So from a regulatory perspective, GDPR coming up quick, 2018 in May. A lot of customers are looking towards their security partners to help understand the data that they have on-premises, the data they have in the cloud, and get controls around that so they can avoid massive, 4% of their revenue fines, how does Sumo help with those accounts? >> Well back to your question just from right now, I think what's happening there is whether they're regulatory or industry-related standards, or security teams wanting to be more proactive, they're actually starting to be enablers for the business, surprisingly. And so what we're seeing in the case of GDPR is that's an accelerant to adopt cloud, because we actually isolate the data down into regions, and the way we've architected our platform from day one has always been a true, multi-tenant SaaS technology platform. And so there's not that worry about data resiliency and where it resides and how you get access to it because we've built all that out. And so when we go through all of our own attestations, whether it's SOC Type 1, Type 2, GDPR as an initiative, what we're doing for HIPAA, what we're doing for a plethora of other things, usually the CISO says "Ah, I get it, you're way more secure, now help me." "Because I don't want the folks in development or operations "to go amok, so to speak, I wanna be an enabler, "not Doctor No." >> So that relationship with the developer, how seamless is that? Are they changing their workflows from a development process? >> Absolutely, I think what's happening now is not only the formation of this DevSecOps model, you're starting to see the rationalization of tools to be able to support that. And so in a lot of cases, the CISOs are being pulled in because the business made the decision to move to the cloud. Now the CISO needs a new posture because of data access, data privacy, things like we just talked about, GDPR, and once they realize that Sumo can provide that lens and provide the analytics, but enable the developers to have the agility, they become our biggest advocate in a lot of these accounts. So they're the ones often times with initial budget, because there's a lot more budget typically for security, they'll bring Sumo Logic in, they deploy it, and then they extend it to other groups. I'll give you an example, we started with Pinterest. Pinterest had a PCI audit issue. They had a short window where they had to pass their auditor's requirements. They brought us in and in a span of a few weeks, we helped them get through that audit. They had the Sumo console and all the alerts, notifications up on the dashboard. The DevOps team got wind of it, six weeks later we did a multimillion-dollar, multi-year deal with them for their entire elastic displacement and their monitoring stack. That's all about the land and expand model that Sumo's been doing now for seven and a half years. And it's predicated on security being the champion, not always DevOps being the champion. >> Fantastic, so you guys have a booth here, we can see it right this direction. What are some of the cool things, last question, that people can see and learn coming to the Sumo booth here at AWS? >> So I think it's probably a bigger point that we're trying to illustrate here at the conference and just our point of view in general, I think the announcements that we all saw today with respect to what Jassy talked about, the ML toolkits, the things around Kubernetes, it's really about flexibility around choice. So what we're actually demoing here is our support for Kubernetes, and Docker containers, but it's all wrapped up into something even more intriguing here, and it's something that we look at as, something we refer to as, the analytics economy. All this technology, all this power that's being delivered and announced today, is empowering a slew of new use cases that have not been yet addressed. And so we feel like we're the forerunner in that in helping design things with GuardDuty for example, but it's not just about things that are running in AWS. I know we're at this event, but customers want choice. That's why Docker, that's why Kubernetes, that's why multi-cloud is important. So what they'll find in our booth is not only the best platform for building, running, and securing modern apps on AWS, but also the ability to have that portability and flexibility to pulling in GCP, to Azure, to their own data centers, because that's the world we live in, the complex world. >> Wow, exciting, your passion and excitement for what you guys do and how you're really have successfully become a trusted advisor is very palpable. So we'll have to have you back on the show, 'cause there's clearly a lot more to talk about. Unfortunately we're out of time. I'm Lisa Martin, for Keith Townsend and Ramin Sayar, thank you so much for watching The Cube. Stick around, we're live on day two of AWS re:Invent 2017. We'll be right back. (electronic music)

>> Narrator: Live from Las Vegas, Nevada, it's theCUBE covering AWS re:Invent 2016. Brought to you by AWS and its ecosystem partners. Now here is your host, John Furrier. >> Hey, welcome back everyone. We are here live in Las Vegas for AWS Amazon Web Services re:Invent 2016, their annual industry conference. The center of the universe in the tech world, 32,000 attendees, broke all records. It grew from 16,000 last year, almost double. I'm John Furrier with theCUBE. We are here getting all of the signal from the noise. Three days of wall-to-wall coverage. Our next guest Ramin Sayar, who's the President and CEO of Sumo Logic. Welcome to theCube, welcome back. >> Very well, thank you much. Nice to be here. >> So, when did you move over to Sumo Logic? >> So interestingly enough, it's two years this Friday. >> Okay so give us a quick update and then I want to dive into the relationship with Amazon. You guys clearly doing big data early. In the wave of the Hadoop is big data, but those other methodologies. Quick history of what you guys are doing now and status of the company. >> Sure. So the company is about seven years old. We were founded, born, actually bred on AWS. We don't have a single server in our place and interesting enough, the premise of founding Sumo, seven and a half years ago, actually was to build a multi-tenant SAAS-based machine data analytics platform to start to address a lot of the security, but also the operational issues that customers were facing. Our founders actually came from a security background and realized that rear-view mirror technologies and looking at historical aspects wasn't good enough. So low and behold, they made a big bet at that time, six years, almost seven years ago, to build exclusively on AWS and today, on an average day, we're ingesting about 70 terabytes of data, we're analyzing over 100 petabytes of data on AWS. >> So talk about the specific implementations. Obviously using all of the services, is there any particular ones, obviously storage, Glacier, you must be using some Glacier, but is it mostly S3, is it ElasticBox Storage? >> S3, C2, we use, obviously, some of the other services, but more importantly, we enable all of the services that AWS provides for their customers to be seamlessly supported by Sumo. So when you log into Sumo or you create a brand new account you give us your credentials, everything from Kinesis to Lambda, to EC2, to ElasticBox Storage, all of those are out-of-the-box that are supported. >> And you guys had a great booth last year. This huge booth, right in the front, with sumo wrestlers. I mean that stole the show in the age of Twitter and Instagram. The share of voice on that was pretty significant. >> Yeah I think there's an underpinning tone there, which is we want to wrangle your data, right. And no one knows big data more than a sumo. And we have earned the right now, after seven years in with 100 petabytes of data that we're analyzing every single day, to be a lot more prescriptive for customers in terms of how to approach the way they build, run, and secure these modern apps. >> We've been following you guys in context of the big data space. I don't think we've had a lot of briefings on the analysis side. I think we should get you guys certainly plugged-in with George Gilbert, our analyst, but what's interesting is the predictive marketing and then a lot of certain verticals were really in early on big data and you guys were there. What's evolved since then? Because now you're seeing, with AWS certainly, you've got streaming, you got redshift doing very well, the services that they've added on over the past few years has been pretty significantly and kind of right in your wheelhouse. >> Yeah. >> John: So what new use-cases are popping up now? What are you guys doing for business? What's some of the profile customers? How are they using Sumo and what's the value for them? >> Great question. So a few things we're seeing. One is with the availability of all these services that Amazon is providing, the cycle time for releasing new code and overall applications is becoming much less. And as a result there's not just a need to move to continuous integration or continuous deployment, it's about continuous updates. So the challenge that brings for a lot of our customers they need real-time visibility. We refer to that as continuous intelligence. So our platform is predicated on the fact that we have near real-time analytics streaming engine that as data is coming in, you can get visibility for your developers, you can get visibility for your operations teams, and you can get visibility for your security compliance teams. So let me give you a couple of examples. You asked for customers, Huddle is one of the customers they spoke about today. >> John: Jeff Frick and I love Huddle. >> Football videos, but you know they support Premier League, they support Aussie rule football, I mean there's a lot of sports right? And so they're uploading video and there's a great service not for just college or high school athletes, but professional athletes to understand their game and analyze their games. So underpinning that, actually Huddle's using Sumo to run their service, to manage their service. Not too distinct from Domo or Qualtrics or other customers like SalesForce, Adobe. We have customers like Land-O-Lakes. We do a lot in media and entertainment, gaming, online retailers. So what do they all have in common? They're either migrating to the cloud, one. Two, they're doing digital transformation or some sort of digital application initiative. Three, they need some way to get visibility real-time into their applications and services from a security perspective, but also an operational perspective. >> What's the driver for customers right now? Because one of the things we hear all the time is people are trying to account for their data. So analytics is kind of like this, well data warehouse was this old mentality, but now smart people started putting into mainstream, but now there's more of a data accountability aspect. The metadata, really valuable. How are customers doing that with you guys? 'Cause I can see them getting their toes wet with Sumo and then getting up and saying "Wow I can use some prescriptive analytics, predictive marketing", whatever the use-case could be, but now you gotta start thinking where's the data coming from and where's it accounted for. Is there a data economy? >> So what's interesting about that, you mentioned metadata, and that's what it's about. Our system, we ingest any type of structured or unstructured data. And we actually analyze a lot of the metadata. In fact, like I mentioned earlier, we're analyzing over 100 petabytes every single day on AWS. And so what we're able to actually help our customers do now is be much more prescriptive and provide insights as to the 1300 customers that are on Sumo, the 74% of them that run on AWS, about a quarter of them are using things like Lambda. Another two-thirds are using EC2, but how? And what types of queries are they doing? And what types of services are they building with Docker containers, or Mesosphere, or others of that type of services? So now we've actually entered a position where we're actually the trusted advisor for a lot of these companies in moving to the cloud, building new, modern apps because we've been doing it for seven and a half years. >> Yeah. >> Ramin: And so the metadata starts to become important because we actually put out a recent survey we called "The state of the modern app". And that whole report was premised on the 100 plus petabytes every single day over a six month period, how are customers using AWS, what services are they using and not using, and what should you consider? The number one thing we found in that report was only half of the customers, of which 74% of the 1300 run on AWS, were actually doing anything with CloudTrail with respect to security. That means the other half are potentially vulnerable to breach. >> John: Yeah. >> John: What percentage? >> 50%. >> So half were exposed. >> Half are exposed >> John: No audit at all. >> Ramin: No audit at all. So now we're actually proactively notifying them saying, "Hey listen for your type of deployment you're using these types of common services. Others similar to you should use the following." >> That brings up a good point. So let's unpack that because what that brings up is a lot of people get into data and they hear all this stuff in the news. Oh big data driven and you know they can drink the Kool-Aid and go "Okay I buy that vision." But there's some pretty urgent issues on the table that people got to deal with in the enterprise and or if they're cloud native and that is security. You mentioned it. I mean that has become such the low-hanging fruit for data analytics. So Splunk being very successful with that. Cyber, we talked to Teresa Carlson earlier. Their public-sector business is exploding, certainly with the CIA and others. I'm sure you guys got some of those clients. But that highlights that yeah that's all fine and dandy to do some nice stuff over here to figure out recommendation engine for this or that, when you got security holes out there. Are you seeing that on your end too? >> Well interestingly enough, that's how we started. We started with the goal of providing analytics and more importantly we wanted to democratize analytics initially for security in the cloud. And so, we actually before Amazon Web Services really built things like PKI or public key encryption or things around encrypting data transfer, we had built that into our system and service. So what we actually are able to do now is not only show how we can encrypt the data and do all this services, but show them how they should actually start to use CloudTrail and how they should architect these modern apps, and what things they should be concerned about from a vulnerability and risk point of view. One of the newest products that we just announced is in early-access around threat vulnerability and threat intelligence because now we're getting a 360 degree view for a lot of our customers because you saw today the hybrid announcement right? That's going to be there for a while. What Sumo allows a lot of our customers to do is from their on-premise data center to their CDNs to all their SAAS applications like SalesForce, or WorkDay, or DropBox, or Box to all those things running on ASH or Amazon and the like, we provide a whole 360 view. And we can actually now >> John: So you get real-time >> John: as well on that? >> Real-time. >> Ramin: So our system and service is predicated on a real-time data streaming engine. >> Yeah so you guys can coexist in multi-cloud world. >> Absolutely. >> John: That's your premise. >> Ramin: No pun intended right? (laughing) >> All right, let's talk about contextual data and what companies should do and why they should get you guys involved in the use-cases of going forward, planning. A lot of conversation here at re:Invent is AWS 2.0. They go on to the next level, Enterprise, a little bit more complicated than say Cloud Native greefield apps. How should they be thinking about their data? You've been doing this for seven years in AWS and you probably have clients that aren't on AWS some are, some aren't, that's the makeup. But generally what's the architecture? What should be holistic concept for CIO, CXO, or down to the practitioner level, what's the guiding principles? >> It starts with a fundamental principle of form follows function. And you know this is a sports analogy, but if you're not formed right, you're not going to function right. So a lot has to do with a conscious decision customers need to make in terms of how they're going to structure their teams and whether they're going to move to a true dev-ops model where they're pushing hourly, daily, weekly, and whether they need to or not for certain applications versus others. And then it goes into function in terms of how they start to architect their applications. What services they need to use. And we've actually learned that over seven and a half, eight years ourselves, seven which years were running on AWS. And so the advice often times we give to a lot of our customers is understand where the mission critical workloads that you need to migrate, categorize those. Second is, which of the greenfield apps you're building and why. And what type of retention and security policies do you need and these are the common services you should probably consider with AWS. And then third is, the other set of applications you don't really care about, leave them for now. Focus on your expertise here. >> It's really triaging the sequence or order of app rollout, basically. Well thanks for coming on theCube. Really appreciate Ramin. I want you to take a minute to close us out and talk about for the folks watching, what's new with Sumo Logic? Why should they be working with you? What's the pitch? What's new? What's relevant for you guys? >> Great, so obviously we're a big data company, but more specifically our service and our strategy was predicated on democratizing analytics. And so we refer to that as continuous intelligence. And so as this digital transformation is taking place, and we're seeing it here, we're seeing it across every part of the businesses, we are well suited for every company that's got either a migration effort or an active, new project going on AWS. And so we can provide a simple, secure, highly scalable machine data analytics platform as a service and that's what Sumo is all about. >> And your business plan for the next year is what? Knock down more customers? Do more product development? All of the above? Channel? What's the strategy? >> So good question. So on one hand we're introducing a new product. We've kind of hinted to some of that today with some threat intelligence. Second is, we just introduced a new product about a month ago that we're starting to monetize. It's about semi-structured data. And third is, we're gonna start to really expand our routes to market and channels. One of the things that we participated in recently with Amazon is the new Amazon SAAS marketplace program. We're in with a handful of companies that participate in design and development there. And so that allows very seamlessly for customers to come try, buy, and decide whether they go month-to-month, semi-annually, or year. >> Well that will accelerate the operational nature of your product. >> Absolutely, but that's the way we sell today. In fact, our whole business model is predicated on land and expand. You're probably familiar with this whole notion of cohorts. >> Yup. >> And that dollar retention. Well the median, if you look at PACCrest and Morgan Stanely and the other firms, tend to be 103 to 105. Best in class tends to be 110 to 115. We've been well north of 160 for 19 straight quarters. >> Well Jassie said that on his keynote today. The bombastic days of handwaving are over. If you don't see it right there, the value, in front of you, don't buy it. >> Don't buy it. >> It's really the marketplace's vision. >> That's marketplace vision and that's what we're all about at Sumo Logic. >> Ramir Sayar, President and CEO of Sumo Logic. Congratulations on your success. Continued success. This is theCube bringing you all the action live in Las Vegas for re:Invent 2016, I'm John Furrier. Be right back with more after this short break. You're watching theCube.

>> Announcer: From San Francisco, it's the Cube, covering PagerDuty Summit 2019. Brought to you by PagerDuty. >> Hey, welcome back everybody, Jeff Frick here with the Cube. We're at PagerDuty Summit in downtown San Francisco. It's about a thousand people, fourth year of the show, third year of the Cube this year, happy to be back. Ironically, (laughs) a couple weeks ago we were at Sumo Logic Illuminate down the road by the airport, and we're excited to have somebody from Sumo here to talk about how do these platforms work together. So, returning again is Jonathan Rende SVP products at PagerDuty and joining us is Bruno Kurtic. He is the founding VP of product strategy for Sumo Logic. Bruno great to see you, Jonathan welcome back. >> Thanks, for having us. >> All right so Bruno we were just at your show, now you got to take a little bit easier, probably quite not as many responsibilities. We'll talk a little bit about your relationship between the two companies cause from the outside looking in, looks like there's some redundancies, it looks like two platforms, it looks like where's my single pane of glass but in fact there's a real synergistic opportunity to work together. >> Good question, so they are two platforms but it's entirely synergistic. You know between the two technologies, PagerDuty and Sumo Logics, we sort of helped our customers who run mission critical products and services that serve their customers in fact, number one, get information from their systems and applications to understand what's happening in them and then leverage our two platforms to resolve those issues, make sure those applications are running, that their customers are happy, that they're delivering the services that they are there to deliver to them. >> And I know Jon you got a long list of great companies that you guys work for and you said it's a really key part of the company strategy. >> Yeah the ecosystem that we work with with one of our favorite partners, Sumo Logic, we use Sumo, we're a big customer of Sumo Logic as well and it's really important all of the telemetry, all the machine information that's coming in. Again the part that we play as in that is how do we orchestrate people to get work done when things go south? And how do we get the right people on and give them some information about what they're doing to help triage what they're doing. >> Right. >> So the two work together really, really well. >> So what are the themes at both keynotes? Ramin's keynote as well as Jennifer's is data. And the fact that you guys both have a giant proprietary data set about machine activity and people activity from running these businesses. I was teasing on Twitter an overnight sensation ten years in the making that you can leverage to deliver more value. So, as we look forward, data's been important but, right, now all the hot topic is machine learning and artificial intelligence. How are you now taking this next gen technology and applying it to these giant datasets to offer kind of proprietary insight to your customers. I'll start with you, Bruno. >> Sure, so there's a massive amount of data, right? It's growing at a rate of Moore's Law so there's more data than any human could cope with. And so our task at Sumo's is figuring out what is that data trying to communicate to you? So we spend a lot of effort on machine learning, pattern detection, advanced analytics, to help our customers sort through that massive amount of data to understand whether their services are available, whether they're performing, whether they're secure, whether they are compliant, and we boil that up into a set of insights that we then feed downstream or upstream in this case to PagerDuty to help those people who are responsible for those services do the work to make sure they're restored and working well. >> And I guess to compliment what Bruno is saying, one of the things that we're doing is we're also ingesting a lot data, a lot of machine data from monitoring products and from service desk products, other kind of sources of data because that also informs who needs to get engaged when a system goes down? And then what do they need to do in order to fix it? And so it's all context it's all data and how we can help narrow that down. We had a really interesting statistic this was earlier this year where we were looking at per responder how is this growth of interruptions and alerts, how is that trending? And now compared to just a couple of years ago it's about three times the amount of noise that's coming at them now per responder than three years ago. So, clearly the people on the end of this are getting overwhelmed if we don't do something intelligently (laughs) to make sense of it for them. >> Right. That's interesting cause it's really a lot false positives, (stammers) I don't know if that's the right characterization but certainly too much to prioritize and an overwhelming amount of data for a person to try to filter, so you're really trying to add that intelligence on the front end so hopefully the right problems are getting surfaced and not just this broad (laughs) base of false positives, or minor positives maybe. >> Yeah, it's funny you say false positives because one of the concepts that we have is there are you know, alerts and incidents that need to be managed, but then there are un-actionable alerts and incidents. Things that really shouldn't be bothering you. So you have to walk that fine line between what do you act on that you should take action on and what are the things you shouldn't take action on and kind of ignore? And so we use machine learning to do a lot of that work and filter out the bad noise and bring the important information in. >> Yeah, I wonder if you have any thoughts, Bruno, on how much of that filtration needs to happen (laughs) to kind of quiet down this tsunami that's coming over the transom. >> Well on our terms it's, you know, every one of our customers send us billions of records per day, literally billions. >> Jeff: Billions of records per day? >> Billions of records and so figuring out what matters amongst those billions of records is a hard job. There's a lot of false positives, false negatives that need to be sorted through, before it even gets handed up to the upstream technologies like PagerDuty, right? So, we spend a lot of time doing outlier detection, doing predictive analytics, doing sort of pattern detection, machine learning type of techniques to make sure that the stuff that gets bubbled up has as few false positives and as few false negatives as possible so that the insights that intelligent actions that need to be taken are most appropriate and can be prioritized and handled by a small team of people who own those actions. >> Right, it's funny you say billions and billions. I have a digitalization challenge, I keep throwing out to people and there's yet to be, I've yet to get a great response which has shown me a billion, a billion piece dataset in a visualization that I as a person can look at and comprehend what the heck is going on. Beyond something as simple as you know, half of them on this side and half of them on this side. I mean we're not wired for that way. We're not wired to be able to take in billions of data points. It's just not, it's just not going to happen. >> Just for that context we actually, we analyze a quadrillion records a day. So talk about billions and then you know many more orders of magnitude than that, it's, those are numbers that are hard to comprehend, right? We don't think in those numbers, right? It's really hard to humans to grasp. >> So, so how do we keep up? I mean, how do we keep up? I mean it's kind of a bigger problem, but you know as much as anybody kind of exponential growth of this data. We're barely getting into IOT and industrial IOT and sensors on everything at the house and on our clothes and our shoes. You scared about keeping up? Can we keep up? What do you, you know, kind of, how do you see this crazy trajectory on the data? We have to kind of gate it somehow? >> So from my perspective there is no sense in being scared of it, right? A digital business generates data, we all got data that can't run. So the task is to capture it, analyze it, to understand it and serve up intelligence from it, right? So our task is to keep pace with that growth and build resilient scalable systems with the analytics that are required to understand it, right and so you know we can't shy away from it, so whether we like it or not. >> Here it comes (laughs). >> It's not an easy task but we can't walk away. >> Right right, and then the other just crazy increasing complexity. No, thank you. (laughing) Is on your guy's side, really is the variety. I mean we used to talk about the old big data big three you know variety, and veracity and velocity. You know the interconnectivity of all these systems is also the thing that's growing so exponentially and so when something does break the ability to find what broke amongst this huge potential is really a hard and growing problem. >> Yeah, it is and that's why it's sitting in the middle of an ecosystem of a lot of different products that will give and send off to telemetry that we have to look at. It is really important. You know, it's almost as if the information that we're always looking for on the PagerDuty platform, it has to be items that really are actionable by a person which, you know, if you look at the information that is flowing into Sumo Logic, it's even in some ways very broad. And so it's a wider funnel, we have a narrower funnel of kind of information but they're both very complimentary at each other cause one is that humans need to act on in the moments and the other one is how do I analyze in a broader sense? >> Right. >> Even a bigger range of information so both are so critical as a part of that whole ecosystem. As I was saying, we personally use Sumo Logic as a big part of how do we actually triage actual incidents? We built tons of libraries in the Sumo Logic product so we can make sense of even a broader set of information flowing in from all of our logs in some of those critical moments. So yeah, it's great synergy. >> Good, good, well I'm glad you guys are working on this big data problem cause it's a big hairy one. >> Jon: And it just keeps getting bigger. >> And the customers only benefit right? >> Yeah. >> Well Bruno, Jonathan, thanks again for taking a few minutes. Congratulation on the collaboration. It looks like it's working pretty well. (mumbling in agreement) He's Bruno, he's Jonathan, I'm Jeff and you're watching the Cube. We're at PagerDuty Summit downtown San Francisco. Thanks for watching, we'll see you next time. (rhythmic synth music)

>> From San Francisco, It's theCUBE. Covering Sumo Logic Illuminate 2018. Now here's Jeff Frick. >> Hey welcome back everybody. Jeff Frick here with theCUBE. We are at Sumo Logic Illuminate 2018: about 600 people. I think its three times as big as it was last year here at the Hyatt San Francisco Airport in Burlingame, and on of the big topics of today is the release of this new report. It's called The State of Modern Applications in DevOps Security, and to talk all about it and the results and kind of the process we are excited to have Kalyan Ramanathan, excuse me, VP of Product Marketing at Sumo Logic. Welcome. >> Thank you, Jeff. >> So you've been doing this report for a while, correct? >> Yeah, exactly, I think this is the third version of this report, and from what we know the first and only report that looks at how, you know, leading edge customers actually build, run, manage, and secure their applications in public cloud environments. >> Right, so just a little history for people that aren't familiar: Sumo launched in the cloud natively, right, and I think you guys launched on AWS. >> Absolutely. >> Way back when, I think, one of our very first AWS shows we went to in 2013, Summit San Francisco, I remember it well, we had you guys on, and so you guys have really grown along with AWS, but obviously you have expanded well beyond just simply inside of AWS. >> That's right. So, the company was founded in 2010, and we were one of the first big data services to run on AWS. I think our founders, you know, ran into one of the AWS architects who describe this new thing called a cloud, and they were completely smitten by it. They thought that this was the next new wave of how services are going to be delivered, so it just made a lot of sense to build this machine data analytics platform, that we were building, or that we were planning to build on AWS. >> Right. >> The scalability, the agility, the, ya know, the flexibility that AWS offered was exactly what our platform needed, and so this was a marriage made in heaven. But we can support applications that run just about anywhere. We obviously support applications running on AWS extremely well; that's our DNA. We get those applications, because we build and run those applications ourselves, but we also support Azure. We support GCP. We support hybrid environments. Many of our customers, ya know, are either, ya know, built in the cloud, and they know only cloud, but a few of them are also making the transition to the cloud, are migrating their applications to the cloud, and you know, we believe that we live in an age where flexibility is extremely important, and we support our customers where ever their applications are today. >> Right, so let's look at some of the findings, so. >> Absolutely. >> Just from a process point of view, you interviewed your customer data base, right? Your, your numbers here? >> Yeah, yeah, I think, yeah. We looked at our 16 hundred customers. >> Sixteen hundred customers, okay. >> And an important point to make out here is that we don't interview our customers. What we do is to, essentially, collect data from our customers, which is what we do when we are doing machine data analytics, we anonymize those data, and we represent as to what is happening in terms of these applications. How do our customers build these applications, you know, manage them, and secure them? >> Right. >> So this is not a >> It's the real data, though. >> It's real data. >> This is not, this is not what they think they know, and they're going to answer the survey. >> Absolutely. Exactly. Right. >> And all the survey biases that can come up. >> You are very right, I mean, you know, that's what makes this report unique, right? >> Right, right. >> It's the first report where we're actually reflecting what customers actually do. It's not a survey. It's not an aggregation of, you know, data from ten other sources. This is as close to truth as you can get in terms of running and building and securing applications. >> Right. >> In the cloud environment. >> So, I was happy to see that the data supports a number of the hypotheses that we derive at a lot of the shows. >> Absolutely. >> That we go through. You know, right of the top: Docker and the adoption of Kubernetes in orchestration is growing rapidly. >> Absolutely, I mean, ya know, everywhere you go you hear containers: container this, container that, so, ya know, we see a similar adoption. Docker has grown from 14 percent to about 28 percent in this, as we see in this report, but what's interesting is also the growth of Kubernetes and orchestration, right? If you were to ask anyone, even in this conference, you know, about orchestration, let's say two or three years ago, and even the word Kubernetes, ya know, I'm sure you'd have gotten blank stares. >> Right, right. >> Here we are, two years into Kubernetes becoming, you know, somewhat mainstream, and we are already starting to see 30 per cent adoption of orchestration within AWS, and out of that 30 per cent, we almost see fifteen per cent of those folks using Kubernetes as a native technology. AWS has just announced their own Kubernetes service. I am sure if, when we have this conversation next year, >> Right. >> Kubernetes, you know, will become a household name. You will see 30 per cent adoption of Kubernetes alone, >> Right. >> Ya know, in a report of this kind. >> Well it's funny: when we were at VMworld a couple weeks ago, and Kubernetes was both in Pat's, Pat Gelsinger's keynote. >> Uh-huh. >> As well as Sonjay's, you know, so it's just, it really shows how fast in this type of a world a new technology adoption can just be put into place. >> Yeah, I mean, if you bring the right capabilities, if you have the right support, which is what Kubernetes does, and, obviously, if you have the right backing, you know, in the form of Google, obviously, incubating this project and then, you know, promoting it as an open source standard, and everybody is now falling behind it. Ya know, we support it. We hear it from our customers, and, you know, the data also bears this out. >> Right, so what about on the database side? What did you find on the database side? >> Yeah, I mean, the database results are always interesting for us, right? You know, I think the most important thing that we learned is that, you know, as customers are building apps in their public cloud environments, they really have a choice, ya know? If you were to build an on-prem, you know, application, once upon a time, I mean, you are usually stuck with Oracle or, ya know, MySQL or SQL Silver or some of those standard database fares everyone has heard about. >> Right. >> But when you, now, go to the cloud, when you migrate to the cloud, or when you are, you know, incubating your applications in the cloud to begin with, you want to re-think your database layer. This is the core layer that powers your application, and there are lots more, ya know, opportunities to, and options out there. >> Right. >> So, what we are seeing is, one, the growth of no-SQL databases: they are way more scalable, ya know, they handle big data way better that, ya know, traditional SQL databases, so we're definitely seeing a growth of that, of no-SQL databases. >> Right. >> What's also interesting is that, ya know, is customers have the choice. They are looking at other forms of databases. Ya know, I could look at Redis, I could look at MongoDB, I could look at Posgres, and, right, I'm not stuck going back to, ya know, our favorite Oracle or SQL Silver anymore. >> Right. What strikes me is that the definition of the requirement has been flipped upside-down. Before it was, "What infrastructure do we have? What's available that IT can deliver to me? What do we have licenses for, and what can I build on top of?" Now the application has taken center stage, so now it's "This is what I want to do with my application. What is it that I need underneath the covers to deliver that capability?" So it really flipped the whole thing on its head. >> Ya know, this also goes back to that, you know, sort of the democratization of decisions where, you know, developers, now, can make these choices. You know, once upon a time, right, I mean, someone, a muckity-muck in your organization says Oracle is the way to go, and everybody follows suite, follows suit. That's not the case any more, right? >> Right. >> I mean, the engineer, they're a developer who is building their application, especially in the microservices world, they can make choices in terms of what is a data server that they may choose to build into that microservcie? And that doesn't have to be Oracle every time. It doesn't have to be SQL Silver every time. You know, if Redis makes sense, if MongoDB makes sense, let's go build that into our into our platform. >> Right, so, another one, you know, serverless is all the hot buzz, and clearly that is supported here with some of the data around Lambda adoption. >> Yeah, I mean, Lambda growth, you know, continues to astound us. We are seeing Lambda grow from twelve per cent two years ago, which is when we did our first report, to now, you know, almost 30 per cent, you know? So, imagine that, right: one in three enterprises today are using Lambda, and this is a technology that is very easy to use, but architecture-wise, you need to re-think how you are putting your applications together with Lambda, and we are starting to see, you know, some wide-spread Lambda adoption, you know, within enterprises. >> Right, but isn't that the ultimate goal, I mean, as we get closer and closer to, you know, atomic versions of store, compute, & networking, I mean, shouldn't it all, ultimately, get there. >> Yeah. >> I mean, there's requirements, and, you know, there's reality I don't deal, you know, luckily I don't have to go turn the stuff on and run it, but, you know, that is the vision, right? Atomic units of compute, atomic units of store, atomic units of network. >> Yeah, I mean, look, serverless is the ultimate Nirvana when it comes to the cloud, right? I mean, the notion of the cloud is that, you know, I have an application. It needs to run. I don't worry about the infrastructure, and to a certain extent, I don't even worry about the management. So, serverless and Lambda is the manifestation of that. >> Right. >> Right, and what we are starting to see is that many customers are, at least dabbling with Lambda. Now, I won't say that customers are building their core application with Lambda yet, because that requires a re-think of their application itself, but what we are starting to see is that Lambda is used in DevOps, Lambda is used in integration, Lambda is a glue-ware that sort of ties all of these applications together. >> Right. >> In fact, you know, this report that we put together, a lot of it has actually been put together on the back of Lambda. We use Lambda extensively to collect this kind of data, and create a report of this kind. >> (chuckles) That's great! Another piece I wanted to make sure that we talked about is really, kind of, the break-down of the clouds. >> Uh-huh. >> Obviously you guys have a huge percentage of your business is, you know, you ask customers, you guys were born in AWS. >> That's right. >> That seems pretty logical, but what's interesting is a lot of multi-cloud, so, you know, I don't know if you distinguish between multi-cloud, hyper-cloud, but at the end of the day, as I think Ramin talked about in the keynote, right, there's going to be different places for different workloads. >> Absolutely. You know, look, as you rightfully pointed out, we are born in AWS, so we have an affinity to AWS, and so AWS customers also have an affinity to Sumo Logic, so it's not wonder that a big swath of our customers are built in AWS. Now, having said that, what we are also seeing is actually an acceleration of our customers, you know, adopting more and more AWS. I mean, they are the leaders in the space. I mean, I think nobody can, nobody can question that statistics. What is interesting, though, is that we are starting to see increased adoption of multi-cloud. We saw about five per cent of our customers dabble in multi-cloud last year. We are at close to ten per cent this year. We are also seeing increased adoption of Azure. We had a, you know, about five per cent of our customers use Azure last year. We are starting to see almost, I should say about eight per cent of our customers used Azure last year. We saw, we're seeing about fifteen per cent of our customers use Azure this year. >> Right, right. >> Right, so Azure is a, you know, has definitely become a very credible second cloud alternative for many of our customers. >> Sure. >> Now, we do see interest in GCP. It's not translated into lots of GCP adoption in production environments yet, but we're definitely seeing that increased interest, and I'm sure, you know, when we put this report together next year, you'll see some very credible and statistically relevant GCP data in this report. >> Right, right, so, Kalyan, there's a lot here, and we could go on for (chuckles) and on and on. So, people can go to the website. They can download the report, but... It's so great, but what I like most about this report is you lay out the facts, right, you lay out your findings, people can question your data source or this or that, but you lay out your methodology, but then you have very specific instructions for the IT buyer about what they should consider, and I think that is so powerful, because I think from the position of an IT purchaser today, >> Right. >> They've got to just be getting creamed with, you know, like, with things we're talkin' about, like, with serverless and Lambda and security and DevOps and >> Right. >> And the pace of change for them keeps going faster, so where do they even begin when they're doin' this kind of analysis? It's not just putting it out for an RFP anymore, right? >> Yeah, I mean, that was the intent of this report, right? I mean, at the, you know, when we started this report our goal was to provide accurate, real-time information about, you know, where are these modern apps in the public cloud going? You know, our leading-edge customers, like Airbnb and the Twitters and the Salesforce and the Adobes, know how to do this well, but there is a huge swath of our community that is, in some sense, perplexed, right? I mean, they see this cloud adoption happening. They see this cloud wave coming. They have cut their teeth on, you know, data centers and applications in the data center. How do I make that transition to the cloud? How do I, you know, follow these cloud-first companies and learn from these companies? And, so, what we wanted to do was to collect this data, anonymously surface this data, and provide, you know, this insight to this community so that they can, you know, in some sense emulate, you know, these leading-edge companies and learn how to architect, build, run and secure their apps. >> Right, right, and I love this little, you know, kind of, the new stack, if you will, the architecture set-up. >> Right. >> Cake chart that you've done in the past. All right, great! So, a lot of, ton of information. I'll give you the last word as we're here at Illuminate, triple last year's numbers. A little bit about where you guys are goin' next. What's, kind of, top of your mind? >> You know, look, you know, Sumo Logic, as a company, you know, we are doing exceptionally well in this machine data analytics space. We are the only cloud-native machine data analytics vendor. We are where the market is going, right? We understand cloud; the apps are going to the cloud. We know how to manage these apps exceptionally well, but more importantly, you know, we think that it's also important and it behooves us to make sure that we take our developer community, our ops community, our security community along with us, and that's the intent of this report. >> Right. >> It's to not sell product, though we do want to sell it eventually. >> Yeah. >> But it's to provide you guys, actually I should say, provide the community with the right kinds of information so that, you know, they can do their jobs better. >> Right, right. >> That's the goal of Sumo Logic. It's all about, you know, empowering the people who power these modern apps, which is actually the theme of this event itself. >> Well, very good. Well, we'll leave it there, and thanks for taking a few minutes of your time. >> Thank you very much, Jeff. >> All right, he's Kalyan. I'm Jeff. You're watchin' theCUBE. We're at Sumo Logic Illuminate at San Francisco Hyatt Regency by the airport. See ya next time. (hip music)